查欣洁^1,2,,
高星^1,,,
王伟¹,
侯献华³,
杨飞¹,
张小艳¹
1. 资源与环境信息系统国家重点实验室, 中国科学院地理科学与资源研究所, 北京 100101
2. 中国科学院大学, 北京 100049
3. 国土资源部盐湖资源与环境重点实验室, 中国地质科学院矿产资源研究所, 北京 100037

基金项目: 国家自然科学基金（41641040，41574036，41374061，41421001）和科技部"重点陆相盆地深层含钾卤水富集规律与成矿预测"（2017YFC0602802）资助


详细信息

作者简介: 查欣洁, 女, 1991年生, 博士研究生, 主要从事超前探测方面研究. E-mail: zhaxj.16b@igsnrr.ac.cn

通讯作者: 高星, 男, 1966年生, 研究员, 主要从事地震波传播理论及应用研究. E-mail: gxing@igsnrr.ac.cn

中图分类号: P631

收稿日期:2017-12-11
修回日期:2018-01-17
上线日期:2018-03-05

Advanced prediction migration method research in tunnel engineering investigation

ZHA XinJie^1,2,,
GAO Xing^1,,,
WANG Wei¹,
HOU XianHua³,
YANG Fei¹,
ZHANG XiaoYan¹
1. The State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
2. University of Chinese Academy of Sciences, Beijing 100049, China
3. Key Laboratory of Saline Lake Resources and Environment, Ministry of Land and Resources, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China


More Information

Corresponding author: GAO Xing,E-mail:gxing@igsnrr.ac.cn

MSC: P631

--> Received Date: 11 December 2017
Revised Date: 17 January 2018
Available Online: 05 March 2018


摘要
摘要:针对地下工程领域隧道超前预报地震波波场传播与成像中存在的问题，通过数值模拟，构建二维含低速异常的隧道介质模型，研究隧道弹性波场传播规律和异常体边界成像准确性.首先，利用一阶速度-应力波动方程和高阶交错网格有限差分计算方法，导出隧道超前预报数值模拟的稳定性条件和边界条件，对上述隧道模型进行数值模拟，识别波场特征；其次，利用叠前逆时偏移成像方法，对压制噪音干扰后的波场在互相关成像条件下，对隧道模型中的异常体边界进行逆时偏移成像.研究结果表明：采用高阶交错网格有限差分正演获得异常体边界清晰的反射波和角点产生的散射波；逆时偏移算法获得隧道内异常体准确成像结果，从而大大提高隧道超前预报的分辨率与准确性；靠近掌子面单一震源、多道接收观测系统对异常体成像效果最佳，为隧道内高效数据采集提供理论依据.
关键词: 超前预报/
交错网格/
逆时偏移

Abstract:In this study, a two-dimensional tunnel model with low-velocity bodies was constructed to investigate elastic wave field propagation in tunnels, and pre-stack reverse time migration was used to conduct imaging. The stability and boundary conditions for advanced tunnel prediction numerical stimulation were obtained via the high-order staggered-grid finite-difference method and the first-order velocity-stress elastic wave equation to numerically simulate the wave field of the tunnel model. The pre-stack reverse time migration method, which is widely utilized in petroleum exploration, was applied for imaging of the tunnel model with the cross-correlation imaging condition and noise suppression technique. The modeling and migration results show that, reflection wave from abnormal body boundary and scatter wave from breakpoint are clear using the high-order staggered-grid finite-difference numerical modeling, the more accurate imaging results are obtained using reverse time migration method, which improves the resolution and accuracy for tunnel advanced prediction, and the observation system of single source closed to tunneling face with multi-channel receiver brings out the optimal abnormal body imaging, which provides theoretical basis for efficient data acquisition of advanced prediction in tunnel.
Key words:Advanced prediction/
Staggered-grid/
Reverse time migration



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